This paper describes our entry for the MAP/MPE track of the PASCAL 2011 Probabilistic Inference Challenge, which placed first in all three time limit cate-gories, 20 seconds, 20 minutes, and 1 hour. Our baseline is a branch-and-bound algorithm that explores the AND/OR context-minimal search graph of a graphical model guided by a mini-bucket heuristic. Augmented with recent advances that convert the algorithm into an anytime scheme, that improve the heuristic power via cost-shifting schemes, and using enhanced variable ordering schemes, it con-stitutes one of the most powerful MAP/MPE inference methods to date.
Graphical models are a powerful framework for modeling interactions within complex systems. Reasonin...
This electronic version was submitted by the student author. The certified thesis is available in th...
<p>Exact MAP computation can be performed by enumerating all possible genotype configurations. Becau...
The paper describes a branch and bound scheme that uses heuristics generated mechanically by the min...
Linear chains and trees are basic building blocks in many applications of graphi-cal models, and the...
The paper investigates the potential of look-ahead in the con-text of AND/OR search in graphical mod...
We report the PASCAL2 benchmark for DAOOPT and GUROBI on MPE task with 330 optimally solved instance...
We introduce new anytime search algorithms that combine best-first with depth-first search into hybr...
The paper presents and evaluates the power of a new framework for optimization in graphical models, ...
Published online: 24 October 2015We propose a branch-and-cut (B&C) method for solving general MAP-MR...
The paper investigates the potential of look-ahead in the con-text of AND/OR search in graphical mod...
We introduce an approximate search algorithm for fast maximum a posteriori probability estimation in...
Marginal MAP is a key task in Bayesian inference and decision-making. It is known to be very difficu...
In Probabilistic Logic Programming (PLP) the most commonly studied inference task is to compute the ...
Linear chains and trees are basic building blocks in many applications of graphical models. Although...
Graphical models are a powerful framework for modeling interactions within complex systems. Reasonin...
This electronic version was submitted by the student author. The certified thesis is available in th...
<p>Exact MAP computation can be performed by enumerating all possible genotype configurations. Becau...
The paper describes a branch and bound scheme that uses heuristics generated mechanically by the min...
Linear chains and trees are basic building blocks in many applications of graphi-cal models, and the...
The paper investigates the potential of look-ahead in the con-text of AND/OR search in graphical mod...
We report the PASCAL2 benchmark for DAOOPT and GUROBI on MPE task with 330 optimally solved instance...
We introduce new anytime search algorithms that combine best-first with depth-first search into hybr...
The paper presents and evaluates the power of a new framework for optimization in graphical models, ...
Published online: 24 October 2015We propose a branch-and-cut (B&C) method for solving general MAP-MR...
The paper investigates the potential of look-ahead in the con-text of AND/OR search in graphical mod...
We introduce an approximate search algorithm for fast maximum a posteriori probability estimation in...
Marginal MAP is a key task in Bayesian inference and decision-making. It is known to be very difficu...
In Probabilistic Logic Programming (PLP) the most commonly studied inference task is to compute the ...
Linear chains and trees are basic building blocks in many applications of graphical models. Although...
Graphical models are a powerful framework for modeling interactions within complex systems. Reasonin...
This electronic version was submitted by the student author. The certified thesis is available in th...
<p>Exact MAP computation can be performed by enumerating all possible genotype configurations. Becau...